The Stanford CoreNLP Natural Language Processing Toolkit

Christopher D. Manning; Mihai Surdeanu; John Bauer; Jenny Rose Finkel; Steven Bethard; David McClosky

doi:https://doi.org/10.3115/v1/p14-5010

The Stanford CoreNLP Natural Language Processing Toolkit

2014 · 7,269 citations · 9 from inside this corpus

Christopher D. Manning, Mihai Surdeanu, John Bauer low, Jenny Rose Finkel, Steven Bethard, David McClosky

Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, David McClosky. Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2014.

14 of 14 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Transformers: State-of-the-Art Natural Language Processing→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
Hierarchical Attention Networks for Document Classification→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
HuggingFace's Transformers: State-of-the-art Natural Language Processing→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
Advances in natural language processing→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
Text Summarization with Pretrained Encoders→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
Reading Wikipedia to Answer Open-Domain Questions→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
The Stanford CoreNLP Natural Language Processing Toolkit→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
The Stanford CoreNLP Natural Language Processing Toolkit→Natural Language Processing with PythonLegacy edge — source detail unavailable
The Stanford CoreNLP Natural Language Processing Toolkit→Incorporating non-local information into information extraction systems by Gibbs samplingLegacy edge — source detail unavailable
The Stanford CoreNLP Natural Language Processing Toolkit→Feature-rich part-of-speech tagging with a cyclic dependency networkLegacy edge — source detail unavailable
The Stanford CoreNLP Natural Language Processing Toolkit→Generating Typed Dependency Parses from Phrase Structure ParsesLegacy edge — source detail unavailable
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
Hierarchical Attention Networks for Document Classification→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
Hierarchical Attention Networks for Document Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering→Reading Wikipedia to Answer Open-Domain QuestionsLegacy edge — source detail unavailable
Transformers: State-of-the-Art Natural Language Processing→Stanza: A Python Natural Language Processing Toolkit for Many Human LanguagesLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank	2013	6,849
Natural Language Processing with Python	2009	3,451
Incorporating non-local information into information extraction systems by Gibbs sampling	2005	3,044
Feature-rich part-of-speech tagging with a cyclic dependency network	2003	2,885
Generating Typed Dependency Parses from Phrase Structure Parses	2006	2,305

What cites it, inside the corpus

Paper	Year	Cited
Transformers: State-of-the-Art Natural Language Processing	2020	8,295
Hierarchical Attention Networks for Document Classification	2016	4,871
HuggingFace's Transformers: State-of-the-art Natural Language Processing	2019	3,147
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering	2018	1,743
Advances in natural language processing	2015	1,732
Text Summarization with Pretrained Encoders	2019	1,633
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification	2015	1,548
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages	2020	1,463
Reading Wikipedia to Answer Open-Domain Questions	2017	1,454

Links

Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record

Topics

Natural Language Processing Techniques	Computer Science
Topic Modeling	Computer Science
Semantic Web and Ontologies	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports6 author record(s) attached.
supports14 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…